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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems
Mingcheng Zuo, Dunwei Gong, Yan Wang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 193-207
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Benchmark problems for large-scale constrained multi-objective optimization with baseline results
Kangjia Qiao, Jing Liang, Kunjie Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101504-101504
Closed Access | Times Cited: 19
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm
Kangjia Qiao, Jing Liang, Kunjie Yu, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 965-979
Closed Access | Times Cited: 33
Adaptive constraint handling technique selection for constrained multi-objective optimization
Chao Wang, Zhihao Liu, Jianfeng Qiu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101488-101488
Closed Access | Times Cited: 12
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems
Qianqian Yu, Chen Yang, Guangming Dai, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101584-101584
Closed Access | Times Cited: 11
Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
Xiaobing Yu, Pingping Xu, Feng Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107817-107817
Closed Access | Times Cited: 9
Constrained multi-objective optimization problems: Methodologies, algorithms and applications
Yuanyuan Hao, Chunliang Zhao, Yiqin Zhang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 111998-111998
Open Access | Times Cited: 8
A Bilevel Evolutionary Algorithm for Large-Scale Multiobjective Task Scheduling in Multiagile Earth Observation Satellite Systems
Feng Yao, Yingguo Chen, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3512-3524
Closed Access | Times Cited: 5
Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization
Shuai Shao, Ye Tian, Xingyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101606-101606
Closed Access | Times Cited: 5
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
Yuanguo Lin, Fan Lin, Guorong Cai, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 833-833
Open Access
Methods to balance the exploration and exploitation in Differential Evolution from different scales: A survey
Yanyun Zhang, Guanyu Chen, Cheng Li, et al.
Neurocomputing (2023) Vol. 561, pp. 126899-126899
Closed Access | Times Cited: 13
Population Feasibility State Guided Autonomous Constrained Multi-Objective Evolutionary Optimization
Mingcheng Zuo, Xue Yuan
Mathematics (2024) Vol. 12, Iss. 6, pp. 913-913
Open Access | Times Cited: 4
A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization
Wei Zhang, Jianchang Liu, Lin Li, et al.
Expert Systems with Applications (2025), pp. 126908-126908
Closed Access
A multi-preference-based constrained multi-objective optimization algorithm
Xue Feng, Zhengyun Ren, Anqi Pan, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101389-101389
Closed Access | Times Cited: 9
Parameter Control Framework for Multiobjective Evolutionary Computation Based on Deep Reinforcement Learning
Tianwei Zhou, Wenwen Zhang, Ben Niu, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-17
Open Access | Times Cited: 2
A many-objective evolutionary algorithm based on learning assessment and mapping guidance of historical superior information
Jinlian Xiong, Gang Liu, Zhigang Gao, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 2, pp. 194-229
Open Access | Times Cited: 2
Joint Energy and Completion Time Difference Minimization for UAV-Enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach
Chaoda Peng, Zexiong Wu, Xumin Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14040-14053
Closed Access | Times Cited: 2
Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems
Fei Ming, Wenyin Gong, Huixiang Zhen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108673-108673
Closed Access | Times Cited: 2
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
Zeyi Wang, Songbai Liu, Jianyong Chen, et al.
Lecture notes in computer science (2024), pp. 218-230
Closed Access | Times Cited: 2
A Cooperative Multistep Mutation Strategy for Multiobjective Optimization Problems With Deceptive Constraints
Kangjia Qiao, Kunjie Yu, Caitong Yue, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 11, pp. 6670-6682
Closed Access | Times Cited: 2
Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization
Yufei Yang, Changsheng Zhang, Yi Liu, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101732-101732
Closed Access | Times Cited: 2
Deep Reinforcement Learning and Auto-Differential Evolution Co-Guided Coal Washing
Mingcheng Zuo
Discrete Dynamics in Nature and Society (2024) Vol. 2024, pp. 1-10
Open Access | Times Cited: 1
Evolutionary Computation in bioinformatics: A survey
Yanyun Zhang, Cheng Li, Guanyu Chen, et al.
Neurocomputing (2024) Vol. 591, pp. 127758-127758
Closed Access | Times Cited: 1
Coevolutionary multitasking for constrained multiobjective optimization
Songbai Liu, Zeyi Wang, Qiuzhen Lin, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101727-101727
Closed Access | Times Cited: 1
A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment
Ning Yu, Zhenzu Bai, Juhui Wei, et al.
Expert Systems with Applications (2024) Vol. 261, pp. 125555-125555
Closed Access | Times Cited: 1
An adaptive many-objective evolutionary algorithm based on decomposition with two archives and an entropy trigger
Li Cao, Maocai Wang, Massimiliano Vasile, et al.
Engineering Optimization (2023) Vol. 56, Iss. 11, pp. 1707-1747
Closed Access | Times Cited: 3
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